The Pattern of Polymorphism in Arabidopsis thaliana

Magnus Nordborg(University of Southern California), Tina T. Hu(University of Southern California), Yoko Ishino(University of Southern California), Jinal Jhaveri(University of Southern California), Christopher Toomajian(University of Southern California), Honggang Zheng(University of Southern California), Erica Bakker(University of Chicago), Peter Calabrese(University of Southern California), Jean Gladstone(University of Chicago), Rana Goyal(University of Southern California), Mattias Jakobsson(Lund University), Sung Hoon Kim(University of Southern California), Yu. G. Morozov(Biohaven Pharmaceuticals (United States)), Badri Padhukasahasram(University of Southern California), Vincent Plagnol(University of Southern California), Noah A. Rosenberg(University of Southern California), Chitiksha Shah(University of Southern California), Jeffrey D. Wall(University of Southern California), Jue Wang(University of Chicago), Keyan Zhao(University of Southern California), Ted Kalbfleisch(Biohaven Pharmaceuticals (United States)), Vincent Schulz(Biohaven Pharmaceuticals (United States)), Martin Kreitman(University of Chicago), Joy Bergelson(University of Chicago)
PLoS Biology
May 20, 2005
Cited by 988Open Access
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Abstract

We resequenced 876 short fragments in a sample of 96 individuals of Arabidopsis thaliana that included stock center accessions as well as a hierarchical sample from natural populations. Although A. thaliana is a selfing weed, the pattern of polymorphism in general agrees with what is expected for a widely distributed, sexually reproducing species. Linkage disequilibrium decays rapidly, within 50 kb. Variation is shared worldwide, although population structure and isolation by distance are evident. The data fail to fit standard neutral models in several ways. There is a genome-wide excess of rare alleles, at least partially due to selection. There is too much variation between genomic regions in the level of polymorphism. The local level of polymorphism is negatively correlated with gene density and positively correlated with segmental duplications. Because the data do not fit theoretical null distributions, attempts to infer natural selection from polymorphism data will require genome-wide surveys of polymorphism in order to identify anomalous regions. Despite this, our data support the utility of A. thaliana as a model for evolutionary functional genomics.


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